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One of the most challenging issues in stereoscopic image quality assessment (IQA) is how to effectively model the binocular behaviors of the human visual system (HVS). The latter has a great impact on the perceptual stereoscopic 3D (S3D) quality. This paper presents a stereoscopic IQA metric based on the properties of the HVS. Instead of measuring the quality of the left and the right views separately,...
In this paper, we explore the redundancy in convolutional neural network, which scales with the complexity of vision tasks. Considering that many front-end visual systems are interested in only a limited range of visual targets, the removing of task-specified network redundancy can promote a wide range of potential applications. We propose a task-specified knowledge distillation algorithm to derive...
It is increasingly common to embed embodied, human-like, virtual agents into immersive virtual environments for either of the two use cases: (1) populating architectural scenes as anonymous members of a crowd and (2) meeting or supporting users as individual, intelligent and conversational agents. However, the new trend towards intelligent cyber physical systems inherently combines both use cases...
A quality metric of the image is the major interesting area in the digital image processing system. The metric or assessment can be done individually or accurately on the image. It is vital for a digital imaging system to be able to guess the quality of the image and predict the minimum and maximum value of the metric used to evaluate the image quality. So that it can be preserved, control and possibly...
Image retrieval and classification in medical domain are the two important aspects in decision making and automatic annotation of benign and malignant images. These processes improve the decision making during decease identification. Image classification is usually done by checking image visual or semantic content similarity. Image content may be represented by its low level visual features referring...
In the Web analytics the information delivery and the web usage is optimized and the analysis of data is done. The analytics is the measurement, collection and analysis of webpage data. Page statistics and user metrics are the important factor in most of the web analytics tool. This is the limitation of the existing tools. It does not provide design inputs for the optimization of information. This...
Code smells are indicators of design flaws that may have negative effects on software comprehensibility and changeability. In recent years several detection tools have been developed that are supposed to help in revealing code smells in large size software systems. However, usually a subset of the detected code smells are suitable for refactorings only. Previous studies on software clones have shown...
The availability of open source software projects has created an enormous opportunity for software engineering research. However, this availability requires that researchers judiciously select an appropriate set of evaluation targets and properly document this rationale. After all, the choice of targets may have a significant effect on evaluation.We developed a tool called RepoGrams to support researchers...
This article presents a novel approach to analyze thesoundscape in ecosystems, in order to categorize them in terms of their acoustic properties, focusing on the characterization of four ecosystems through an image classification system which contain information of daily acoustic activity in the frequency range (1kHz-11kHz), for five consecutive months. Emphasis is placed on pre-processing of acoustic...
Recent research indicates that the well known scale invariance property of natural images may originate from the existence of the critical image layer exhibiting phase transition from disordered to ordered states as the intensity scale increases. In this paper we examine the impact of phase transition on perceptual quality assessment of images and confirm that using only the ordered or structured...
Recently, various automated attribute discovery methods have been developed to discover useful visual attributes from a given set of images. Despite the progress made, most methods consider the supervised scenario which assumes the existence of labelled data. Recent results suggest that it is possible to discover attributes from a set of unlabelled data. In this work, we propose a novel unsupervised...
Person re-identification, aiming to match a specific person among non-overlapping cameras, has attracted plenty of attention in recent years. It can be regarded as a visual retrieval task, namely given a query person image, ranking all gallery images according to their similarities to the query. Conventionally, this similarity function is learnt by forcing intra-distances to be small while inter-distances...
Trajectory segmentation is the process of subdividing a trajectory into parts either by grouping points similar with respect to some measure of interest, or by minimizing a global objective function. Here we present a novel online algorithm for segmentation and summary, based on point density along the trajectory, and based on the nature of the naturally occurring structure of intermittent bouts of...
The design of rules governing the behaviour of a follower in a leader-follower system is a non-trivial task. In this paper, we investigate three Boids-like behavioural rules: alignment, attraction and separation. We systematically design and investigate the impact of different reward functions on the three behaviours using evolutionary computation methods. A Learning Classifier System initially starting...
Shopping of the same or similar types of products as shown in the online TV programs has been highly desired by many people, especially the youth. To meet this eminent market need, we develop a prototype system to enable effortless TV-to-Online (T2O) experience. A key component of this system is the product search that maps specific items embedded in the video into a list of online merchants. The...
This paper introduces a video processing method designed specifically to give researchers access to players' behaviors within any commercially available off-the-shelf PC game. Insights into players' experiences with videogame violence are achieved from automatically processing significant elements of the audio-visual communication/feedback (i.e. moving image and sound) over long periods of uninhibited...
Visual impairment limits a person mainly in ability to move freely and independently. Even with many navigation aids and tools currently on the market, almost one third of the visually impaired do not travel independently without a guide, and human-prepared landmark-enhanced itineraries of the route are the most useful. We designed a system which based on a specific efficiently collected geographical...
With the fast development of Geographic Information Systems, visual global localization has gained a lot of attention due to the low price of a camera and the practical implications. In this paper, we leverage Google Street View and a monocular camera to develop a refined and continuous positioning in urban environments: namely a topological visual place recognition and then a 6 DoF pose estimation...
In this paper we are interested in establishing a pretreatment for existing metrics without reference (MSU Blocking Metric) for the H.264/MPEG-4 (Motion Picture Expert Group) AVC (Advanced Video Coding) standard. We perform a pretreatment using HARRIS saliency map to improve the performance of this metric. We evaluate the performance of the proposed pretreatment by using subjective “LIVE” video databases...
This paper studies the Contrast and Brightness Enhancement Technique for Scanning Electron Microscope images. Low contrast and/or brightness SEM image may have some hidden or information loss due to this limitation from image environment. This leads to the design of Minimum Mean Brightness Error Quad Histogram Equalization (MMBEQHE) technique. The MMBEQHE improves the visual image quality (qualitative...
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